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Compared to a “normal” cuda workflow is there still a kernel compilation step? And does this streaming make use of texture memory? Would love a link to any lea
by leetrout 7y ago
Compared to a “normal” cuda workflow is there still a kernel compilation step? And does this streaming make use of texture memory?
Would love a link to any learning resources you know of (especially if they have architecture diagrams)! I am on my phone but I’ll look more this weekend and see what I can find and any input is appreciated!
- betterwithbacon 7y agocuStreamz defers its computation down to cuDF which uses a combination of ahead of time compiled kernels via libcudf and just in time compiled kernels via Numba, CuPy, and Jitify for its execution. As far as I know none of the above technologies use texture memory. The RAPIDS docs site has an overview presentation that is a good source of architecture diagrams and would likely be a good start to further reading: https://docs.rapids.ai/overview https://docs.rapids.ai/overview